Causal Interpretation of Statistical Relationships in Social Research
He may simply assert that in his population or on a much larger scale (if he makes an inductive generalization from his findings) S is followed by B; or
He may also say that in his population or on a much broader scale (if not on a universal scale) S is the cause of B, or — in other terms — B is the effect of S.
KeywordsCausal Relation Statistical Relationship Causal Connection Causal Interpretation Spurious Correlation
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